Mim/autotrain-data-procell-expert

---
task_categories:
- text-classification

---
# AutoTrain Dataset for project: procell-expert

## Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project procell-expert.

### Languages

The BCP-47 code for the dataset's language is unk.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"text": "We studied the antitumor activity and toxicity of ZD1694 (tomudex), a specific inhibitor of thymidyl[...]",
"target": 0
},
{
"text": "Here we provide data that human prostate cancer cell lines express the platelet-type isoform of 12-L[...]",
"target": 0
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['accept', 'reject'], id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name | Num samples |
| ------------ | ------------------- |
| train | 155 |
| valid | 40 |

原始信息汇总

AutoTrain Dataset for project: procell-expert

数据集描述

该数据集由AutoTrain自动处理，用于项目procell-expert。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的一个样本如下：

json [ { "text": "We studied the antitumor activity and toxicity of ZD1694 (tomudex), a specific inhibitor of thymidyl[...]", "target": 0 }, { "text": "Here we provide data that human prostate cancer cell lines express the platelet-type isoform of 12-L[...]", "target": 0 } ]

数据字段

数据集包含以下字段（也称为“特征”）：

json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(num_classes=2, names=[accept, reject], id=None)" }

数据集分割

数据集分为训练集和验证集，分割大小如下：

分割名称	样本数量
train	155
valid	40